Abstract: The author integrate the neural network into the PID controller rationally,and gain an adaptive PID controller where a BP network is utilized to achieve PID parameters self-adjustment;a RBF neural network is utilized to identify the controlled plant on line for congestion control of AQM.Simulation results indicate that the effectiveness of this controller is superior to the traditional PID controller obviously.

Key words: congestion control, PID control, neural network, identification